基于粗糙集理论的高校网站信息知识发现

Knowledge Discovery of University Website Information Based on Rough Set Theory

尝试将粗糙集理论应用于网站信息的知识发现。以广西17所本科院校的网站链接信息作为研究对象,构建影响网站流量排名的指标体系,数据处理采用粗糙集理论,经计算得到约简后的条件属性,并自动推导出12条决策规则。实证结果表明,构建的指标体系是合理及正确的,研究结果可为高校网站建设提供定量参考。

This paper attempted to study Web information by applied rough set theory.The web link information of Guangxi 17 colleges was studied in this paper.To build adversely affect site traffic ranking index system,and rough set theory as a data processing tool,it was calculated that the conditions obtained after reduction properties,and automatically derived 12 decision rules.The empirical results showed that the construction of the index system was reasonable and correct results could provide quantitative information of university website.